Python data serialization---JSON & pickle

JSON & Pickle Data Serialization serialization: is a list, dictionary, and other data type transfer string into a text file
Inverse sequence: Is the string from the text read out after a method into a list, dictionary and other data types. For example, eval () JSON is common: only some simple data types can be processed:
Json:
Serialization and deserialization functions:
Case 1:
Import JSON
info = {
"Name": "Brace",
"Age": 22,
}
JSON_STR = json.dumps (info) #序列化为字符类型
Print (Type (JSON_STR), JSON_STR)
data = Json.loads (JSON_STR) #反序列化为字典类型
Print (type data, data)
Output:
<class ' str ' > {' name ': ' Brace ', ' age ': 22}
<class ' dict ' > {' name ': ' Brace ', ' age ': 22}

Case 2:
Import JSON
info = {
"Name": "Brace",
"Age": 22,
}

With open ("Data", "W") as FS1:
Json.dump (info, FS1) #可以直接序列化后执行文件存储;

With open ("Data", "R") as FS2:
data = Json.load (FS2) #可以直接执行文件读取后反序列化;
Print (data, data) output:
<class ' dict ' > {' name ': ' Brace ', ' age ': 22}


Case Listing 3:
Import JSON
A = {5:1,9:2,1:3,8:4,3:9}
With open ("Data.txt", "W") as FS1:
Fs1.write (Json.dumps (a)) #序列化存储
Fs1.flush ()

With open ("Data.txt", "R") as FS2:
data = Json.loads (Fs2.read ()) #读取后反序列化
Print (data)

{' 5 ': 1, ' 9 ': 2, ' 1 ': 3, ' 8 ': 4, ' 3 ': 9}


Pickle: can only be used in Python:
Can perform some slightly more complex serialization and deserialization

Case 1:
Import Pickle
def sayhi (name):
Print ("Hello%s"%name)

info = {
"Name": "Brace",
"Age": 22,
"Func": Sayhi
}

With open ("Data.txt", "WB") as FS1:
Fs1.write (Pickle.dumps (info)) #pickle. Dumps () The binary type of the conversion. So you have to use WB to store
Fs1.flush ()

With open ("Data.txt", "RB") as FS2: #pickle. Loads () deserialize after reading 2 of the binary data
data = Pickle.loads (Fs2.read ())
Print (data)

Output:
{' name ': ' Brace ', ' age ': $, ' func ': <function sayhi at 0x02f6ba08>}


Case 2:
Pickle Dump and Load method: Same as above function, but can direct file operation


Import Pickle
def sayhi (name):
Print ("Hello%s"%name)

info = {
"Name": "Brace",
"Age": 22,
"Func": Sayhi
}

With open ("Data.txt", "WB") as FS1:
Pickle.dump (info, FS1) #可以直接序列化后执行文件存储;

With open ("Data.txt", "RB") as FS2:
Data=pickle.load (FS2) #可以直接执行文件读取后反序列化;
Print (data)

Output:
{' name ': ' Brace ', ' age ': $, ' func ': <function sayhi at 0x02f6ba08>}

Python data serialization---JSON & pickle